NewPosition: Multimedia Intelligence Analyst Ludus Tactical InternationalPosition: Multimedia Intelligence AnalystMcLean, VAThe work centers on delivering timely, technically defensible, and operationally relevant intelligence while maintaining strict asset accountability, high security, continuous technical innovation, and proactive collaboration with customers to ensure the produced intelligence products directly supports strategic, operational, and tactical decision-making requirements. Desired Education: Master’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; -or- have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree.
Senior Research Engineer - Enterprise Products NVIDIASenior Research Engineer - Enterprise ProductsUs, WashingtonBuild and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles. Experience designing or running LLM evaluations/benchmarks — ideally agentic ones — and drawing statistically sound conclusions from them.
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Capital OneApplied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)McLean, VirginiaCurrently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Applied Researcher II Capital OneApplied Researcher IIMcLean, VirginiaCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Distinguished Applied Researcher Capital OneDistinguished Applied ResearcherMcLean, VirginiaBasic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research. Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs.
Data Scientist J5 ConsultingData ScientistMcLeanFull timeThe Sponsor needs experienced SQL and Python skills to transform the Sponsor’s structured and unstructured data into clear and supported analytic insights to help customers with decision making related to production, resources and personnel. Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
Geophysicist/Geodesist Johns Hopkins Applied Physics LaboratoryGeophysicist/GeodesistLaurel, MarylandFull timeAPL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Develop error models for geophysical data sources, including gravity, bathymetry, and magnetic data to determine how those errors impact the mission of different US Navy platforms.
Cryptanalytic Computer Scientist HireFitCryptanalytic Computer ScientistAnnapolis, Maryland5+ years of relevant experience in computer systems research, simulation/model development, software design and programming, computational science, algorithm analysis and design, reverse engineering, or designing/developing computer or information systems. We're in search of a Mid-Level Cryptanalytic Computer Scientist to join our team and contribute to the development of cutting-edge cryptographic solutions.
Statistician Researcher NORC at the University of ChicagoStatistician ResearcherWashington, D.C.$130,000–$140,000 / yearExperience in at least one of the following areas: demonstrated leadership in data visualization design, including expertise with tools such as R, Tableau, and Power BI for static and interactive visualizations; experience with data disclosure limitation and data privacy methods, including risk assessment and mitigation for public data releases; sampling, weighting, and variance estimation; and developing analytical pipelines and data workflows to support statistical analysis, data visualization, and AI/ML applications. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, statistical disclosure limitation, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC’s research.
Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerMcLean, MassachusettsIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Senior Lead Machine Learning Engineer Capital OneSenior Lead Machine Learning EngineerMcLean, VirginiaAbout the team: Within Card Tech, the Customer Intelligent Decisions & Experiences (CIDX) team is building the next generation of large-scale, Reinforcement Learning-based recommender systems that will power personalized experiences across marketing, customer servicing, and digital products for millions of Card and MainStreet customers. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Machine Learning Engineer 615 Freedom Technology Solutions GroupMachine Learning Engineer 615Chantilly, VirginiaRequired Skills: Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data). The team shall perform a gap analysis of the following sub-tasks to include analyzing the current state, creating a baseline, identifying the gaps between what is known and what is needed, and developing an action plan to mitigate the gaps.
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) Capital OneLead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)McLean, VirginiaLead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) Capital OneSr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)McLean, VirginiaLead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
NewSenior Machine Learning Engineer, Radar & Remote Sensing NT ConceptsSenior Machine Learning Engineer, Radar & Remote SensingChantilly, VARemote$131,376–$243,984 / yearWe deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. The compensation offered to a successful candidate within this range will be based on legitimate, job-related factors, including (but not limited to) the candidate's work location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Software Engineer, Applied AI State AffairsSoftware Engineer, Applied AIWashington, DC$165,000–$250,000 / yearKnowledge of various AI/ML concepts such as computer vision, image processing, statistical modeling/inference, data mining, natural language processing (NLP), prompt engineering, graph/geometric deep learning, large language models (LLM), and generative AI. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), and calibrated against relevant market data and internal team equity.
Data Scientist II (Remote) MaximusData Scientist II (Remote)Tysons, VARemoteFull timeMaximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. -Strong technical and analytical capabilities in data visualization tools such as Power BI or Tableau; SQL querying and database management; business analytics and reporting; predictive modeling and forecasting; and dashboard development.
Data Scientist 2 SentarData Scientist 2Fort Meade, MDphysics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)? and/or computer science (e.g. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
Data Scientist (Remote) MaximusData Scientist (Remote)Tysons, VARemoteFull timeMaximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. - 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
Aver Careers - Data Scientist AVER LLCAver Careers - Data ScientistWashington, DCAVER is seeking a Data Scientist with strong experience in advanced analytics, automation, and Artificial Intelligence/Machine Learning (AI/ML) to develop innovative solutions that enhance data-driven insights, pattern discovery, and operational efficiency. The Data Scientist will collaborate with technical teams, data engineers, leadership, and other stakeholders to modernize data handling, automate analytical processes, improve data quality, and develop scalable analytical solutions.